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'''This page is under revision. Stay tuned...'''
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Knowledge Representation and Reasoning (course homepage)
 
Knowledge Representation and Reasoning (course homepage)
  
 
*Lectures: Martin Baláž, Martin Homola
 
*Lectures: Martin Baláž, Martin Homola
*Labs: Jozef Frtús
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*Labs: Alexander Šimko
  
*Labs info: https://www.dai.fmph.uniba.sk/~frtus/kri/
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*Evaluation: [https://docs.google.com/spreadsheet/ccc?key=0Ai_OUoCwIBGsdGpwY19IZ2JJSHNRTTgtSXN6ZXBTb0E&usp=sharing Google Doc]
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== Course outline ==
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* From databases to KR&amp;R
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* From deduction to hypothetical reasoning
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* Preferences
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* Knowledge revision
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* Induction
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* Abduction
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== Prerequisites ==
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It is vital, that you have some prior knowledge about First Order Logic, Description Logics, and Logic Programs (especially ASP). If you passed [[Course_CompLog|Computational Logic]] before, you should be just fine. If you need to refresh your knowledge here, you can either look at the [[Course_CompLog#Lecture_Slides|slides]] from Computational Logic, or in the recommended literature as listed below.
  
 
==Literature==
 
==Literature==
  
# [http://www.ii.fmph.uniba.sk/~sefranek/kniha/temp/fasada.pdf Šefránek, J. (2000). Inteligencia ako výpočet (p. 430). IRIS.]
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Following references cover the course content extensively and in further details. You're not expected to study all references listed here start-to-end, instead see references in lecture slides where to get more information on a given subject.
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# Baader et al.: [http://www.cambridge.org/gb/knowledge/isbn/item5010366/ The Description Logic Handbook: Theory, Implementation and Applications.] Oxford University Press, 2nd ed., 2003.
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# Calvanese, D., De Giacomo, G., Lenzerini, M., Nardi, D., Rosati, R.: [http://www.dis.uniroma1.it/~rosati/publications/Calvanese-etal-KR-98.pdf Description logic framework for information integration]. In: KR 1998, Morgan Kaufmann 1998.
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# Calvanese, D., Lenzerini, M., Nardi, D.: [http://web.inf.unibz.it/~calvanese/papers/calv-lenz-nard-JAIR-99.pdf Unifying class-based representation formalisms]. J. Artif. Intell. Res. (JAIR) 11, 199-240, 1999.
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# Catarci, T., Lenzerini, M,: [http://disi.unitn.it/~p2p/RelatedWork/Matching/62257.pdf Representing and using interschema knowledge in cooperative information systems]. Int. J. Cooperative Inf. Syst. 2(4), 375-398, 1993.
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#  Šefránek, J.:[http://www.ii.fmph.uniba.sk/~sefranek/kniha/temp/fasada.pdf Inteligencia ako výpočet.] IRIS, 2000.
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== Evaluation ==
 
== Evaluation ==
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Evaluation points:
 
Evaluation points:
  
*Midterm: 15
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*Midterm: 10
*Exam: 40
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*Exam: 30 (min 10)
*Project: 30
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*Project: 25 (min 10)
*Labs: 10
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*Labs: 10 (min 3)
*TOTAL: 95
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*TOTAL: 75
*BONUS: 10
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Evaluation scale:
 
Evaluation scale:
  
* 84 and more: A
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* 67 and more: A
* 75 and more: B
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* 59 and more: B
* 66 and more: C
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* 52 and more: C
* 57 and more: D
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* 45 and more: D
* 48 and more: E
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* 39 and more: E
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== Project ==
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The [http://wiki.matfyz.sk/KRR2013_Projekty project assignment] can now be found in the student's wiki.
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== Lecture Slides ==
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* [[File:KRR2013-Lecture-1-intro.pdf]]
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* [[File:KRR2013-Lecture-2-DL.pdf]]
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* [[File:KRR2013-Lecture-3-ER-vs-DL.pdf]]
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* [[File:KRR2013-Lecture-4-Relations-btwn-DB-schemas.pdf]]
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* [[File:KRR2013-Lecture-5-Deductive-Databases.pdf]]
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* [[File:KRR2013-Lecture-6-Hypothetical-Reasoning.pdf]]
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* [[File:KRR2013-Lecture-7-Reasoning-with-Incomplete-Knowledge.pdf]]
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* [[File:KRR2013-Lecture-8-Reasoning-with-Inconsistent-Knowledge.pdf]]
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* [[File:KRR2013-Lecture-9-NMR-characterization.pdf]]
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* [[File:KRR2013-Lecture-10-Induction.pdf]]
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* [[File:KRR2013-Lecture-11-Abduction.pdf]]
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== Labs ==
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* [[File:Cv01dopyty.pdf]]
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* [[File:Cv02dl.pdf]]
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* [[File:Cv03ers2dl.pdf]]
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* [[File:Cv04ers2dl2.pdf‎]]
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* [[File:Cv05lp.pdf‎]]
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* [[File:Cv06defl.pdf‎]]
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* [[File:Cv08as.pdf‎]]
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* [[File:Cv09nn.pdf]]
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* [[File:Cv10pi.pdf]]
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* [[File:Cv11ab.pdf]]
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There was a problem with the second quiz. You can find a correct solution in [[File:R02riesenie.pdf]].
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Latest revision as of 11:15, 18 February 2014

This page is under revision. Stay tuned...